OpenML
93899

Run 93899

Task 3481 (Supervised Classification) isolet Uploaded 08-12-2014 by Joaquin Vanschoren
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weka.OneR(3)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(3)_B6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.5566
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
1.8216
Cross-validation details (10-fold Crossvalidation)
Build memory
493581709.4708
Cross-validation details (10-fold Crossvalidation)
F measure
0.139
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1133
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1068.9119
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0656
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074
Cross-validation details (10-fold Crossvalidation)
Number of instances
7797
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1365
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1474
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.7004
Cross-validation details (10-fold Crossvalidation)
Recall
0.1474
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8867
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2561
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3317
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
929.8725